public string StartDatasetSchemaGen(WorkspaceSetting setting, string dataTypeId, string uploadFileId, string datasetName, string description, string uploadFileName)
{
ValidateWorkspaceSetting(setting);
Util.AuthorizationToken = setting.AuthorizationToken;
dynamic schemaJob = new
{
DataSource = new
{
Name = datasetName,
DataTypeId = dataTypeId,
Description = description,
FamilyId = string.Empty,
Owner = "PowerShell",
SourceOrigin = "FromResourceUpload"
},
UploadId = uploadFileId,
UploadedFromFileName = Path.GetFileName(uploadFileName),
ClientPoll = true
};
string query = StudioApi + string.Format("workspaces/{0}/datasources", setting.WorkspaceId);
HttpResult hr = Util.HttpPost(query, jss.Serialize(schemaJob)).Result;
if (!hr.IsSuccess)
throw new AmlRestApiException(hr);
string dataSourceId = hr.Payload.Replace("\"", "");
return dataSourceId;
}
public void PromoteUserAsset(WorkspaceSetting setting, string experimentId, string nodeId, string nodeOutputName, string assetName, string assetDescription, UserAssetType assetType, string familyId)
{
ValidateWorkspaceSetting(setting);
Util.AuthorizationToken = setting.AuthorizationToken;
string queryUrl = StudioApi + string.Format("workspaces/{0}/{1}", setting.WorkspaceId, assetType == UserAssetType.Transform ? "transformmodules" : (assetType == UserAssetType.TrainedModel ? "trainedmodels" : "datasources"));
string postPayloadInJson = string.Empty;
switch (assetType)
{
case UserAssetType.Transform:
var transformPayload = new
{
ExperimentId = experimentId,
ModuleNodeId = nodeId,
OutputName = nodeOutputName,
Transform = new
{
Name = assetName,
DataTypeId = "iTransformDotNet",
Description = assetDescription,
SourceOrigin = "FromOutputPromotion",
FamilyId = familyId
}
};
postPayloadInJson = jss.Serialize(transformPayload);
break;
case UserAssetType.TrainedModel:
var trainedModelPayload = new
{
ExperimentId = experimentId,
ModuleNodeId = nodeId,
OutputName = nodeOutputName,
TrainedModel = new
{
Name = assetName,
DataTypeId = "iLearnerDotNet",
Description = assetDescription,
SourceOrigin = "FromOutputPromotion",
FamilyId = familyId
}
};
postPayloadInJson = jss.Serialize(trainedModelPayload);
break;
case UserAssetType.Dataset:
var datasetPayload = new
{
ExperimentId = experimentId,
ModuleNodeId = nodeId,
OutputName = nodeOutputName,
DataSource = new
{
Name = assetName,
DataTypeId = "Dataset",
Description = assetDescription,
SourceOrigin = "FromOutputPromotion",
FamilyId = familyId
}
};
postPayloadInJson = jss.Serialize(datasetPayload);
break;
}
HttpResult hr = Util.HttpPost(queryUrl, postPayloadInJson).Result;
if (hr.IsSuccess)
{
return;
}
throw new AmlRestApiException(hr);
}
protected override void ProcessRecord()
{
ProgressRecord pr = new ProgressRecord(1, "Patch Web Service Endpoint", "Web Service");
pr.PercentComplete = 1;
pr.CurrentOperation = "Getting web service...";
WriteProgress(pr);
WebService ws = Sdk.GetWebServicesById(GetWorkspaceSetting(), WebServiceId);
pr.PercentComplete = 10;
pr.StatusDescription = "Web Service \"" + ws.Name + "\"";
pr.CurrentOperation = "Getting web service endpoint...";
WriteProgress(pr);
WebServiceEndPoint wep = Sdk.GetWebServiceEndpointByName(GetWorkspaceSetting(), WebServiceId, EndpointName);
pr.PercentComplete = 20;
pr.StatusDescription = "Web Service \"" + ws.Name + "\", Endpoint \"" + wep.Name + "\"";
pr.CurrentOperation = "Patching web service endpoint with new trained model...";
WriteProgress(pr);
dynamic patchReq = new
{
Resources = new[] {
new {
Name = ResourceName,
Location = new {
BaseLocation = BaseLocation,
RelativeLocation = RelativeLocation,
SasBlobToken = SasBlobToken
}
}
}
};
Sdk.PatchWebServiceEndpoint(GetWorkspaceSetting(), WebServiceId, EndpointName, patchReq);
WriteObject(string.Format("Endpoint \"{0}\" resource \"{1}\" successfully patched.", wep.Name, wep.Resources[0].Name));
}
